The Linkage Analysis of Electric Load Characteristic Statistical Indexes Based on VAR

Article Preview

Abstract:

Based on the present problems existed in electric load characteristic statistical indexes, a correlation analysis method for load characteristic statistical indexes is proposed in this paper. Low-level correlation indexes are extracted by using correlation analysis, then the linkage analysis theory in econometrics is applied and the load characteristic indexes are analyzed by using vector auto-regression model. The Synchronous movement trend and causal leading relationship among electric load characteristic indexes are confirmed by co-integration test and granger-casualty analysis. The purpose of this paper is to help power decision makers grasp the alteration situation of load characteristic indexes comprehensively and analyze correlation indexes accurately, so it can enhance the monitoring, forecasting and early-warning function of electric system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1401-1405

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Murry W. D AVIS, Theodore J. Kruoa, Matthew J. Diedzic. IEEE Transactions on Power Apparatus and Systems.666-674(1983).

Google Scholar

[2] Jan M. Bothenius Lohman. IEEE Computer Application in Power.32-36(1995).

Google Scholar

[3] C. W. Gellings, J. R. Redomon. IEEE Transactions on power apparatus and systems,01(7) July 2077-2085(1982).

Google Scholar

[4] Cuijuan Xu. The method of Load characteristic cluster analysis. Beijing: NCEPU(2007) In Chinese.

Google Scholar

[5] Fei Liu, Shujun Ben. Jiangsu Electrical Engineering,26(z2):34-37(2007) ,In Chinese.

Google Scholar

[6] Chuan He, Li bingYang, Xiaogan Lig, Hao Zhou. Automation of Electric Power Systems,33(4):36-39(2009) ,In Chinese.

Google Scholar

[7] Chuangxin Guo, Yang Wang, Yong Shen, Mei Wang.Proceedings of the CSEE. 32 (1):24-30(2012), In Chinese.

Google Scholar

[8] Hongchun Shu, Xincui Tian, Jun Dong, Guangbin Zhang. Proceedings of the CSEE. 32 (4):151-159(2012) ,In Chinese.

Google Scholar

[9] Yu Cheng, Li-zi Zhang. Proceedings of the CSEE. 26 (7):118-122(2006) ,In Chinese.

Google Scholar

[10] Wolde-Rufael Y. Energy Policy.34(10):1106-1114(2006).

Google Scholar